Biosensing enhancement using passive mixing structures for microarray-based sensors

Lynn, N. Scott; Martínez-López, J. Israel; Bocková, Markéta; Adam, Pavel; Coello, Víctor; Siller, Héctor R.; Homola, Jiřı́

doi:10.1016/j.bios.2013.11.027

Cited by 39 publications

(29 citation statements)

References 33 publications

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“…Forbes et al further simulated herringbone style mixing enhancements, offering guidelines for the depth, geometry, and frequency of ridges for optimized performance [48]. Lynn et al also used computer simulations to model flow over a similar type of ridge in order to enhance mass transfer to a capture spot for DNA detection [49]. Many other computer simulations for this type of mixer are also present in the literature [50, 51].…”

Section: Enhanced Mixing By Passive Elementsmentioning

confidence: 99%

Mixing in microfluidic devices and enhancement methods

Ward

Fan

2015

J. Micromech. Microeng.

339

229

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Mixing in microfluidic devices presents a challenge due to laminar flows in microchannels, which result from low Reynolds numbers determined by the channel’s hydraulic diameter, flow velocity, and solution’s kinetic viscosity. To address this challenge, novel methods of mixing enhancement within microfluidic devices have been explored for a variety of applications. Passive mixing methods have been created, including those using ridges or slanted wells within the microchannels, as well as their variations with improved performance by varying geometry and patterns, by changing the properties of channel surfaces, and by optimization via simulations. In addition, active mixing methods including microstirrers, acoustic mixers, and flow pulsation have been investigated and integrated into microfluidic devices to enhance mixing in a more controllable manner. In general, passive mixers are easy to integrate, but difficult to control externally by users after fabrication. Active mixers usually take efforts to integrate within a device and they require external components (e.g. power sources) to operate. However, they can be controlled by users to a certain degree for tuned mixing. In this article, we provide a general overview of a number of passive and active mixers, discuss their advantages and disadvantages, and make suggestions on choosing a mixing method for a specific need as well as advocate possible integration of key elements of passive and active mixers to harness the advantages of both types.

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Section: Enhanced Mixing By Passive Elementsmentioning

confidence: 99%

Mixing in microfluidic devices and enhancement methods

Ward

Fan

2015

J. Micromech. Microeng.

339

229

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“…The enhancement and confinement of the electric field intensity at the surface can even be used to improve the sensitivity of Total Internal Reflection Fluorescence (TIRF) microscopy [61], so that both observations can be correlated [62]. The accessibility of the biochip surface is also useful to directly implement micro-devices, for example surface acoustic wave actuators [63] or microfluidic structures [64] that have demonstrated the ability to improve the SPR sensitivity and rapidity by mixing the analyte solution. Finally, the conductivity of the metal layer can be used to perform simultaneous electrochemical measurements (EC-SPR) [65,66].…”

Section: Spr Biosensorsmentioning

confidence: 99%

Spatial resolution in prism-based surface plasmon resonance microscopy

Laplatine¹,

Leroy²,

Calemczuk³

et al. 2014

Opt. Express

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Several optical surface sensing techniques, such as Surface Plasmon Resonance (SPR), work by imaging the base of a prism by one of its faces. However, such a fundamental optical concern has not been fully analyzed and understood so far, and spatial resolution remains a critical and controversial issue. In SPR, the propagation length L(x) of the surface plasmon waves has been considered as the limiting factor. Here, we demonstrate that for unoptimized systems geometrical aberrations caused by the prism can be more limiting than the propagation length. By combining line-scan imaging mode with optimized prisms, we access the ultimate lateral resolution which is diffraction-limited by the object light diffusion. We describe several optimized configurations in water and discuss the trade-off between L(x) and sensitivity. The improvement of resolution is confirmed by imaging micro-structured PDMS stamps and individual living eukaryote cells and bacteria on field-of-view from 0.1 to 20 mm(2).

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“…Therefore, to improve the efficiency of microarray-based assays, a stirring method has been applied to solve the depletion problem by enhancing the mass transport of free target molecules compared to the static method. 8 On the other hand, microfluidic approaches, such as geometric mixing structure, 9 micropump integration, 10 and isotachophoresis (ITP), 11 have been conducted to overcome diffusion limitation. Although these approaches provide several advantages, including low sample consumption, high sensitivity, and rapid reaction time, they have some limitations for applying to conventional microarray format.…”

Section: Introductionmentioning

confidence: 99%

Microarray-integrated optoelectrofluidic immunoassay system

Han

Park

2016

Biomicrofluidics

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A microarray-based analytical platform has been utilized as a powerful tool in biological assay fields. However, an analyte depletion problem due to the slow mass transport based on molecular diffusion causes low reaction efficiency, resulting in a limitation for practical applications. This paper presents a novel method to improve the efficiency of microarray-based immunoassay via an optically induced electrokinetic phenomenon by integrating an optoelectrofluidic device with a conventional glass slide-based microarray format. A sample droplet was loaded between the microarray slide and the optoelectrofluidic device on which a photoconductive layer was deposited. Under the application of an AC voltage, optically induced AC electroosmotic flows caused by a microarray-patterned light actively enhanced the mass transport of target molecules at the multiple assay spots of the microarray simultaneously, which reduced tedious reaction time from more than 30 min to 10 min. Based on this enhancing effect, a heterogeneous immunoassay with a tiny volume of sample (5 ll) was successfully performed in the microarrayintegrated optoelectrofluidic system using immunoglobulin G (IgG) and anti-IgG, resulting in improved efficiency compared to the static environment. Furthermore, the application of multiplex assays was also demonstrated by multiple protein detection. Published by AIP Publishing. [http://dx

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Biosensing enhancement using passive mixing structures for microarray-based sensors

Cited by 39 publications

References 33 publications

Mixing in microfluidic devices and enhancement methods

Mixing in microfluidic devices and enhancement methods

Spatial resolution in prism-based surface plasmon resonance microscopy

Microarray-integrated optoelectrofluidic immunoassay system

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